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An overview of online fake news: Characterization, detection, and discussion
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …
people communicate with each other. Users of online social media share information …
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …
for real-time information dissemination. It has become an open stage for discussion …
A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
Gcn-based user representation learning for unifying robust recommendation and fraudster detection
In recent years, recommender system has become an indispensable function in all e-
commerce platforms. The review rating data for a recommender system typically comes from …
commerce platforms. The review rating data for a recommender system typically comes from …
Intelligent fake reviews detection based on aspect extraction and analysis using deep learning
In the era of social networking and e-commerce sites, users provide their feedback and
comments in the form of reviews for any product, topic, or organization. Due to high influence …
comments in the form of reviews for any product, topic, or organization. Due to high influence …
Fake review detection on online E-commerce platforms: a systematic literature review
The increasing popularity of online review systems motivates malevolent intent in competing
sellers and service providers to manipulate consumers by fabricating product/service …
sellers and service providers to manipulate consumers by fabricating product/service …
Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review
The substantial upsurge in Web 2.0 deployment allows a large number of consumers to
share their opinions with potential consumers and producers through product and service …
share their opinions with potential consumers and producers through product and service …
Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews
The financial impact of positive reviews has prompted some fraudulent sellers to generate
fake product reviews for either promoting their products or discrediting competing products …
fake product reviews for either promoting their products or discrediting competing products …
Opinion spam detection: Using multi-iterative graph-based model
S Noekhah, N binti Salim, NH Zakaria - Information processing & …, 2020 - Elsevier
The demand to detect opinionated spam, using opinion mining applications to prevent their
damaging effects on e-commerce reputations is on the rise in many business sectors …
damaging effects on e-commerce reputations is on the rise in many business sectors …
Fake review detection system for online E-commerce platforms: A supervised general mixed probability approach
Online consumer reviews play an important role in hel** consumers judge the quality and
authenticity of products on e-commerce platforms. However, the constant presence of fake …
authenticity of products on e-commerce platforms. However, the constant presence of fake …